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Prof. Zhenhong Li


Title: A Multi-Source Remote Sensing Technical Framework for Wide-area Landslide Detection

Speaker: Prof. Zhenhong Li

Time: 12: 00-12: 30, December 4, 2023

Place: Liangjiang Grand Ballroom


Abstract: Landslides pose a destructive geohazard to people and infrastructure that results in hundreds of deaths and billions of dollars in damages every year. China is one of the countries worst affected by landslides in the world, and great efforts have been made to detect potential landslides over wide regions. However, a recent government work report shows that 80% of the newly formed landslides occurred outside the areas labelled as potential landslides, and 80% of them occurred in remote rural areas with limited capability of disaster prevention and mitigation. In this presentation, a multi-source remote sensing technical framework is demonstrated to detect potential landslides over wide regions.


Biography: Zhenhong Li received the B.Eng. degree in geodesy from Wuhan Technical University of Surveying and Mapping (now Wuhan University), Wuhan, China, in 1997 and the Ph.D. degree in GPS, geodesy, and navigation from the University College London, London, U.K., in 2005. He is currently a Professor of imaging geodesy with the College of Geological Engineering and Geomatics, Chang’an University, China and a visiting professor with the School of Engineering, Newcastle University, Newcastle upon Tyne, U.K. He is the principal investigator of the Generic Atmospheric Correction Online Service for interferometric synthetic aperture radar. He is a fellow of the International Association of Geodesy, a Senior Member of IEEE and an Associate Editor for Advances in Space Research and Remote Sensing. His research interests include Space Geodesy and Remote Sensing (mainly InSAR and GNSS) and their applications to geohazards (e.g., earthquakes, landslides, and land  

.subsidence) and precision agriculture.


 

Important dates

Paper Submission Deadline:
30 September, 2023
Paper Acceptance Notification:
20 October, 2023
Camera-ready Paper Submission:
5 November, 2023
Registration open date:
20 October, 2023
Conference Date:
3-5 December, 2023

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